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Excalidraw

OrganizationPopular
NousResearch
excalidraw

Hand-drawn Excalidraw JSON diagrams (arch, flow, seq).

Overview

PublisherNousResearch
Repositoryhermes-agent
Skill nameexcalidraw
Stars
250.4K
Forks
53.5K
Bundled files
4
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by NousResearch on GitHub. Read the source before you install it.

Installation

Install the Excalidraw AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/NousResearch/hermes-agent/tree/main/optional-skills/creative/excalidraw
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/NousResearch/hermes-agent.git /tmp/hermes-agent
mkdir -p .claude/skills
cp -r /tmp/hermes-agent/optional-skills/creative/excalidraw .claude/skills/excalidraw
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Excalidraw in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Excalidraw on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Excalidraw is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Excalidraw Diagram Skill

Create diagrams by writing standard Excalidraw element JSON and saving as .excalidraw files. These files can be drag-and-dropped onto excalidraw.com for viewing and editing. No accounts, no API keys, no rendering libraries -- just JSON.

When to use

Generate .excalidraw files for architecture diagrams, flowcharts, sequence diagrams, concept maps, and more. Files can be opened at excalidraw.com or uploaded for shareable links.

Workflow

  1. Load this skill (you already did)
  2. Write the elements JSON -- an array of Excalidraw element objects
  3. Save the file using write_file to create a .excalidraw file
  4. Optionally upload for a shareable link using scripts/upload.py via terminal

Saving a Diagram

Wrap your elements array in the standard .excalidraw envelope and save with write_file:

json
{
  "type": "excalidraw",
  "version": 2,
  "source": "hermes-agent",
  "elements": [ ...your elements array here... ],
  "appState": {
    "viewBackgroundColor": "#ffffff"
  }
}

Save to any path, e.g. ~/diagrams/my_diagram.excalidraw.

Uploading for a Shareable Link

Run the upload script (located in this skill's scripts/ directory) via terminal:

bash
python skills/creative/excalidraw/scripts/upload.py ~/diagrams/my_diagram.excalidraw

This uploads to excalidraw.com (no account needed) and prints a shareable URL. Requires the cryptography pip package (pip install cryptography).


Element Format Reference

Required Fields (all elements)

type, id (unique string), x, y, width, height

Defaults (skip these -- they're applied automatically)

  • strokeColor: "#1e1e1e"
  • backgroundColor: "transparent"
  • fillStyle: "solid"
  • strokeWidth: 2
  • roughness: 1 (hand-drawn look)
  • opacity: 100

Canvas background is white.

Element Types

Rectangle:

json
{ "type": "rectangle", "id": "r1", "x": 100, "y": 100, "width": 200, "height": 100 }
  • roundness: { "type": 3 } for rounded corners
  • backgroundColor: "#a5d8ff", fillStyle: "solid" for filled

Ellipse:

json
{ "type": "ellipse", "id": "e1", "x": 100, "y": 100, "width": 150, "height": 150 }

Diamond:

json
{ "type": "diamond", "id": "d1", "x": 100, "y": 100, "width": 150, "height": 150 }

Labeled shape (container binding) -- create a text element bound to the shape:

WARNING: Do NOT use "label": { "text": "..." } on shapes. This is NOT a valid Excalidraw property and will be silently ignored, producing blank shapes. You MUST use the container binding approach below.

The shape needs boundElements listing the text, and the text needs containerId pointing back:

json
{ "type": "rectangle", "id": "r1", "x": 100, "y": 100, "width": 200, "height": 80,
  "roundness": { "type": 3 }, "backgroundColor": "#a5d8ff", "fillStyle": "solid",
  "boundElements": [{ "id": "t_r1", "type": "text" }] },
{ "type": "text", "id": "t_r1", "x": 105, "y": 110, "width": 190, "height": 25,
  "text": "Hello", "fontSize": 20, "fontFamily": 1, "strokeColor": "#1e1e1e",
  "textAlign": "center", "verticalAlign": "middle",
  "containerId": "r1", "originalText": "Hello", "autoResize": true }
  • Works on rectangle, ellipse, diamond
  • Text is auto-centered by Excalidraw when containerId is set
  • The text x/y/width/height are approximate -- Excalidraw recalculates them on load
  • originalText should match text
  • Always include fontFamily: 1 (Virgil/hand-drawn font)

Labeled arrow -- same container binding approach:

json
{ "type": "arrow", "id": "a1", "x": 300, "y": 150, "width": 200, "height": 0,
  "points": [[0,0],[200,0]], "endArrowhead": "arrow",
  "boundElements": [{ "id": "t_a1", "type": "text" }] },
{ "type": "text", "id": "t_a1", "x": 370, "y": 130, "width": 60, "height": 20,
  "text": "connects", "fontSize": 16, "fontFamily": 1, "strokeColor": "#1e1e1e",
  "textAlign": "center", "verticalAlign": "middle",
  "containerId": "a1", "originalText": "connects", "autoResize": true }

Standalone text (titles and annotations only -- no container):

json
{ "type": "text", "id": "t1", "x": 150, "y": 138, "text": "Hello", "fontSize": 20,
  "fontFamily": 1, "strokeColor": "#1e1e1e", "originalText": "Hello", "autoResize": true }
  • x is the LEFT edge. To center at position cx: x = cx - (text.length * fontSize * 0.5) / 2
  • Do NOT rely on textAlign or width for positioning

Arrow:

json
{ "type": "arrow", "id": "a1", "x": 300, "y": 150, "width": 200, "height": 0,
  "points": [[0,0],[200,0]], "endArrowhead": "arrow" }
  • points: [dx, dy] offsets from element x, y
  • endArrowhead: null | "arrow" | "bar" | "dot" | "triangle"
  • strokeStyle: "solid" (default) | "dashed" | "dotted"

Arrow Bindings (connect arrows to shapes)

json
{
  "type": "arrow", "id": "a1", "x": 300, "y": 150, "width": 150, "height": 0,
  "points": [[0,0],[150,0]], "endArrowhead": "arrow",
  "startBinding": { "elementId": "r1", "fixedPoint": [1, 0.5] },
  "endBinding": { "elementId": "r2", "fixedPoint": [0, 0.5] }
}

fixedPoint coordinates: top=[0.5,0], bottom=[0.5,1], left=[0,0.5], right=[1,0.5]

Drawing Order (z-order)

  • Array order = z-order (first = back, last = front)
  • Emit progressively: background zones → shape → its bound text → its arrows → next shape
  • BAD: all rectangles, then all texts, then all arrows
  • GOOD: bg_zone → shape1 → text_for_shape1 → arrow1 → arrow_label_text → shape2 → text_for_shape2 → ...
  • Always place the bound text element immediately after its container shape

Sizing Guidelines

Font sizes:

  • Minimum fontSize: 16 for body text, labels, descriptions
  • Minimum fontSize: 20 for titles and headings
  • Minimum fontSize: 14 for secondary annotations only (sparingly)
  • NEVER use fontSize below 14

Element sizes:

  • Minimum shape size: 120x60 for labeled rectangles/ellipses
  • Leave 20-30px gaps between elements minimum
  • Prefer fewer, larger elements over many tiny ones

Color Palette

See references/colors.md for full color tables. Quick reference:

UseFill ColorHex
Primary / InputLight Blue#a5d8ff
Success / OutputLight Green#b2f2bb
Warning / ExternalLight Orange#ffd8a8
Processing / SpecialLight Purple#d0bfff
Error / CriticalLight Red#ffc9c9
Notes / DecisionsLight Yellow#fff3bf
Storage / DataLight Teal#c3fae8

Tips

  • Use the color palette consistently across the diagram
  • Text contrast is CRITICAL -- never use light gray on white backgrounds. Minimum text color on white: #757575
  • Do NOT use emoji in text -- they don't render in Excalidraw's font
  • For dark mode diagrams, see references/dark-mode.md
  • For larger examples, see references/examples.md

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Excalidraw AI skill do?

Hand-drawn Excalidraw JSON diagrams (arch, flow, seq).

Why use Excalidraw on TypingMind?

Because you install it once and use it with any model. Excalidraw is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Excalidraw in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/NousResearch/hermes-agent/tree/main/optional-skills/creative/excalidraw. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Excalidraw?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Excalidraw?

As many as you like. As long as a model supports skills, you can use Excalidraw with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Excalidraw AI skill free?

Yes. It is published on GitHub by NousResearch under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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